- Series
- School of Mathematics Colloquium
- Time
- Thursday, May 1, 2014 - 11:00am for 1 hour (actually 50 minutes)
- Location
- Skiles 006
- Speaker
- Gunnar Carlsson – Stanford University – http://math.stanford.edu/~gunnar/
- Organizer
- Joseph Rabinoff
The general problem of extracting knowledge from
large and complex data sets is a fundamental one across all areas of the
natural and social sciences, as well as in most areas of commerce and
government. Much progress has been made on methods for capturing and
storing such data, but the problem of translating it into knowledge is more
difficult. I will discuss one approach to this problem, via the study of
the shape of the data sets, suitably defined. The use of shape as an
organizing problems permits one to bring to bear the methods of topology,
which is the mathematical field which deals with shape. We will discuss
some different topological methods, with examples.